Custom software

System Integration and Task Automation

Your data is spread across several systems, and someone copies it by hand from one to another. Or a repetitive task takes up hours of your team’s time every week. We integrate your systems so the data flows on its own, and we automate the tasks that repeat. Your team can focus on what really matters.

  1. Process diagnosis
  2. Custom connectors
  3. Automated tasks
Data reaches where you need it, without anyone copying it by hand.

Who it is for

It is for you if…

  • Companies with data spread across several systems that need to see it together and up to date: management, customers, shop, spreadsheets.
  • Teams that spend hours on repetitive tasks: booking appointments, sending follow-up emails, preparing quotes, passing on orders.
  • Companies that receive data from outside at regular intervals: from a supplier, a portal or files. And who need it without errors.

It is not for you if…

  • Those who need an artificial intelligence to decide or classify. That is a different service: automatic classification of invoices, requests and emails.
  • Those who can solve it with a simple tool and without programming. We’ll tell you at the first meeting.
  • Tasks that change every week and are not yet defined.

What you get

Diagnosis

A list of tasks that can be automated, with what each one costs today and where to start.

Connectors

Components that read data from each system, from a portal or from a file, when required.

Clean data in its place

The data is converted to a common format and delivered to your database or to a file for download.

Automated tasks

The tasks we agreed on, already running without anyone doing them by hand. For example: booking appointments, sending emails, preparing quotes, passing on orders.

Monitoring and documentation

An alert if a task fails, a log of every run, and documentation for your team.

First, what is worth automating

Not every repetitive task is worth automating. We start with a diagnosis. We talk to the people who do the work, document how it’s done today, and calculate what each step costs. From that we get an ordered list: what saves the most and what is cheapest to build. You decide where to start, based on data.

Integrating: data moves from one system to another without being copied by hand

For each system we build a small connector. It knows how to read from another system, a portal or a file. It runs when it needs to: every hour, every night, or when something happens. The data is converted to a common format and delivered where you need it: to a database or to a file ready to download. Every step is logged. If something fails, you get an alert and it tries again.

Automating: the same rule, the same result

An automated task has to produce the same result as when a person does it, just without the waiting. That’s why we write the rule first and then build. Examples: a booking system that replaces phone calls and emails. Follow-up emails that go out automatically some time after the service. An online quote tool that does the calculation a person currently does over the phone. Everything is measured: bookings made by the system, quotes closed, hours freed up.

Cost and security

There is no server permanently switched on. You only pay each time it is used. The access keys to your systems are stored in a key vault, never in the code. And when a provider changes its system, we adapt the connector as part of the maintenance.

What we build it with

Each connector is a serverless function (Lambda) on AWS, Amazon’s cloud infrastructure. It reads from an API, a portal or a file, and it is triggered by a schedule or by an event. The data is delivered to the database your company uses, to Amazon storage, or as a downloadable file. The infrastructure is defined as code and can be deployed in an account belonging to your company. Access keys are kept in a secrets manager. Every connector has monitoring and alerts.

Glossary

API

The channel through which two systems exchange data.

Connector

A software component that reads data from one system and writes it to another.

Serverless

Your application doesn't occupy a server that is permanently switched on. It runs when someone uses it, and you only pay for that usage.

Cloud account

The account, in your company's name, where your application is hosted. You pay per use and you can move it to another provider.

What problems it prevents

What can go wrong and how we prevent it.

Data arriving incorrect or incomplete

Every conversion is checked against rules and tested with real data. Whatever fails is set aside and flagged. Nothing is lost silently.

A provider changing its system and the connector no longer working

Every connector is monitored and warns you if it fails. If the provider changes something, we adapt it. It is part of the maintenance.

The access keys to your systems being exposed

They are stored in a key vault with limited access. Never in the code or in a shared file.

The automated task doing something different from what the person did

The rule is written before building and tested with real cases. For a while, the person and the system do the task side by side and their results are compared.

Frequently asked questions

It depends on how many systems are involved and how clean the data is. After the diagnosis we give you a plan with the timeline for each connector. The first ones go live soon, and the rest are added in stages.

Yours. They are delivered in your company's name and can be deployed in your company's cloud account. If you ever want to continue with another team, you have everything you need.

With a meeting to review which systems you have and which task takes up the most of your time. Afterwards we send you the quote, fixed and broken down into parts. The diagnosis can be hired separately.

We study each case individually. Sometimes the system lets you export the data to a file. Sometimes there is a portal you can read from. If there is no reliable way, we tell you before starting.